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Improved direct LDA and its application to DNA microarray gene expression data

Paliwal, K.K. and Sharma, Alokanand (2010) Improved direct LDA and its application to DNA microarray gene expression data. Pattern Recognition Letters, 31 (16). pp. 2489-2492. ISSN 0167-8655

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Abstract

The direct linear discriminant analysis (DLDA) technique is a well known technique for dimensionality reduction. It can overcome the small sample size problem. However, its performance is limited. In this paper we address its drawbacks and propose an improvement of the DLDA technique. The experiment is conducted on several DNA microarray gene expression datasets and the performance (in terms of classification accuracy) of the proposed improvement of the technique is reported at 91.1% which is very promising.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User: Ms Mereoni Camailakeba
Date Deposited: 26 May 2010 16:20
Last Modified: 17 Jul 2012 13:52
URI: http://repository.usp.ac.fj/id/eprint/1908
UNSPECIFIED

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